Update .gitlab-ci.yml for the offline makefile test. Notes: 1. the documentation packages will get moved someplace smarter in the future. 2. Look into a targeted clone of the lalsuite-extra data 3. the offline test is super slow... I wonder if it could be the fftw libraries? 

feature_extractor.py + related executable: make kafka an optional library with checks if data format needs kafka imports. auxcache.py: fixed typo in package name

gstlal_feature_hdf5_sink: revamped code to take into account new changes with handling/writing features to disk in main feature extraction executable, fixed import issues in streaming feature extraction processes

online feature extractor: added options to online Makefile to tune synchronizer/file sink jobs, made synchronizer/file sink jobs configurable based on whether kafka is used, changed default basename option for filesink

gstlal_feature_extractor execs: add usage kwarg to OptionParser so that command line options get rendered in online docs

feature synchronizer + hdf5 sink: clean up imports, remove idq dependency that was not necessarily needed, fix kafka topic subscribing in synchronizer to look for job ids

gstlaldeglitchfilter: make the minimum veto segment 2 seconds and increase the taper length to one second on each side

Makefile.gstlal_feature_extractor_online: add options to either dump triggers to disk or transfer via Kafka

gstlal_ll_feature_extractor_pipe + online Makefile: factor out common options into its own function to allow for flexibility, allow for switch between live sources, fix general bugs and missing imports from refactoring. fixed name change in Makefile.am

gstlal_ll_feature_extractor_pipe: tidied up code and cleaned up import namespace for maintainability, change name of exec to match what is done in inspiral

factored out classes, config options in gstlal_feature_extractor exec to separate feature_extractor.py for maintainability, cleaned up import namespace

gstlal_feature_extractor + fxtools/utils.py: add option for switching between etg and timeseries pipeline modes easily, add feature queues and disk writing abilities that handle both independently

Makefile_offline_tutorial_test: tweak data gps ranges so that input data to gstlal_inspiral jobs do not crash

inspiral_extrinsics.py: fix undefined class issues in TimePhaseSNR doctests, allow pytest to run doctests on inspiral_extrinsics.py for CI

horizonhistory.py: fix issues with failing doctests, update .gitlab-ci.yml with doctests to skip in gstlal-inspiral

datasource.py: fixed whitespace issue for doctest in injection_dict_from_channel_list_with_node_range

fix more doctests in datasource.py, update .gitlab-ci.yml with more python files to ignore doctests for

gstlal_fake_frames: fix frame output so that output directory names are consistent based on LDG standards